Model comparison
Grok 4.3 vs Qwen3-Coder 480B-A35B Instruct
Grok 4.3 is the stronger model overall, scoring 43.8 to 38.1 on the Noometry Index.
Last verified . 20 shared benchmarks.
Alibaba (Qwen)Summary
- They share 20 benchmarks with published results for both. Grok 4.3 scores higher in 9 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.3 leads 52.5 to 37.0.
- The biggest single-benchmark swing is WeirdML: 49.9% for Grok 4.3 and 41.2% for Qwen3-Coder 480B-A35B Instruct.
- Grok 4.3 is cheaper at $1.25 / $2.50 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Grok 4.3 accepts more context: 1M tokens versus 262K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Grok 4.3 | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 43.8 | 38.1 |
| Released | 2026-04-17 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 30K | 66K |
| Input $ / M tokens | $1.25 | $1.50 |
| Output $ / M tokens | $2.50 | $7.50 |
| Results tracked | 40 | 25 |
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Category by category
Coding Grok 4.3 leads
Grok 4.3: 41.6 (#121), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1357 | 1275 |
| WeirdML | 49.9% | 41.2% |
| LMArena Coding | 1415 | 1412 |
| ALE-Bench | 944.17 | 461.45 |
| SWE-bench Verified (bash only) | — | 55.4% |
| SciCode | 47.3% | — |
| GSO | — | 4.9% |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Grok 4.3 leads
Grok 4.3: 27.7 (#99), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| GDP.pdf | 8% | — |
| LMArena Search | 1165 | — |
| Vending-Bench 2 | 35.26 | — |
Reasoning Grok 4.3 leads
Grok 4.3: 35.9 (#68), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1396 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| NYT Connections (extended) | 55.2% | — |
| CritPt | 8% | — |
| Chess Puzzles | 25% | — |
| DTBench | 90.7% | — |
| LMCA | 38.3% | — |
| Epoch Capabilities Index | 149.16 | — |
| ForecastBench | 60.3 | — |
Math Grok 4.3 leads
Grok 4.3: 46.0 (#74), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1388 | 1365 |
| FrontierMath (Tiers 1-3) | 42.8% | — |
| FrontierMath Tier 4 | 14.6% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| ProofBench | 11% | — |
Knowledge Grok 4.3 leads
Grok 4.3: 52.5 (#62), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1385 | 1338 |
| GPQA Diamond | 88.8% | — |
| SimpleQA Verified | 33.2% | — |
Multimodal Not comparable
Grok 4.3: 31.6 (#104), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1229 | — |
| Blueprint-Bench 2 | 0% | — |
Multilingual Grok 4.3 leads
Grok 4.3: 50.5 (#120), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1385 | 1346 |
| LMArena Chinese | 1422 | 1357 |
| LMArena French | 1412 | 1398 |
| LMArena German | 1395 | 1325 |
| LMArena Japanese | 1379 | 1310 |
| LMArena Korean | 1356 | 1305 |
| LMArena Russian | 1399 | 1366 |
| LMArena Spanish | 1398 | 1360 |
Instruction Following Too close to call
Grok 4.3: 72.1 (#140), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1366 | 1355 |
Long Context Too close to call
Grok 4.3: 42.5 (#123), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1393 | 1378 |
Writing & Preference Grok 4.3 leads
Grok 4.3: 58.5 (#118), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1397 | 1357 |
| LMArena Creative Writing | 1380 | 1333 |
| LMArena Multi-Turn | 1406 | 1365 |
| EQ-Bench 4 | 1075 | — |
Frequently asked questions
Is Grok 4.3 better than Qwen3-Coder 480B-A35B Instruct?
Grok 4.3 is the stronger model overall, scoring 43.8 to 38.1 on the Noometry Index.
Which is cheaper, Grok 4.3 or Qwen3-Coder 480B-A35B Instruct?
Grok 4.3 is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Grok 4.3 or Qwen3-Coder 480B-A35B Instruct better for coding?
Grok 4.3 scores higher on coding benchmarks: 41.6 versus 35.5 in the Noometry coding category.
Which has the bigger context window?
Grok 4.3 does, with 1M tokens against 262K.
How many benchmarks do Grok 4.3 and Qwen3-Coder 480B-A35B Instruct share?
20 benchmarks have published results for both models. Grok 4.3 has 40 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.